Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2020, Vol. 11 ›› Issue (4): 462-469.DOI: 10.3969/j.issn.1674-8484.2020.04.005

• Automotive Safety • Previous Articles     Next Articles

Path tracking control for an intelligent commercial vehicle based on optimal preview and model predictive

LI Yaohua(), LIU Yang, FENG Qianlong, NAN Youfei, HE Jie, FAN Jikang   

  1. School of Automobile, Chang’an University, Xi’an 710064, China
  • Received:2020-07-18 Online:2020-12-30 Published:2021-01-04

Abstract:

An optimal preview control strategy was adopted to solved path tracking problem of intelligent commercial vehicles. According to the relationship between the heading angle and the curvature of the path, the heading angle deviation feedback control was introduced. According to the relationship between the speed and the preview distance, a multi-point preview distance determination method with variable weight coefficient was proposed. In order to ensure the stability of path tracking, the model predictive control was used to restrict the wheel sideslip angle. Through co-simulation of TruckSim and Simulink, the lateral deviations, the yaw rates and the front wheel slip angles were compared. The results show that the optimal preview control has good adaptability to the speed, but when the road adhesion factor is low, the vehicle will lose stability; The model predictive control has better adaptability to speeds and road adhesion factors, and has better driving stability, and has more accurate path tracking effect than the optimal preview control.

Key words: intelligent commercial vehicles, path tracking, road adhesion factors, optimal preview control, model predictive control

CLC Number: